コンピューティングモデルライフサイクル:医療エコシステムにおけるコンピューティング医療の機会と課題

Sara Bridio¹, Pierre Deceuninck¹, Maurice Whelan¹

¹European Commission, Joint Research Centre, Ispra, Italy.

Science progress

|September 1, 2025

まとめ

AIとシミュレーションを用いた計算医療は病気の診断と治療を向上させます医療分野での普及には技術的・規制上の障害を克服することが重要です

科学分野:

コンピュータ医学
シリコン医療
生物医学研究

背景:

コンピューター医学は物理に基づくシミュレーションと AIを活用して医療の進歩を図っています
病理生理学と治療のための計算モデルの数が増えています.
心血管疾患,整形外科,がん診断などに応用されています.

研究の目的:

インシリコ医療の影響,ニーズ,課題の概要
計算医療をEUの規制環境の中で維持することに焦点を当てます.
"計算モデルライフサイクル"の枠組みを導入する.

主な方法:

コンピューティングモデルのライフサイクルにおける機会と課題の分析
技術的および規制上の障壁の検討
計算医療を支援する欧州のイニシアチブを強調する.

主要な成果:

テクノロジーや規制の障壁が普及を妨げています
重要な課題はデータ管理,モデルの信頼性基準,規制の透明性,臨床統合です.
EHDSやVirtual Human Twinsのような欧州のイニシアチブは,開発を促進することを目的としています.

結論:

医療の革新には大きな可能性を秘めています
ライフサイクルの課題に取り組むことは,研究を臨床実践に移す上で極めて重要です.
EUのイニシアチブは,規制と技術の進歩のための枠組みを提供します.

キーワード:

コンピュータ医学コンピューターモデリングとシミュレーション健康に関するデータシリコン医療モデルの信頼性規制の枠組み

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